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Appears in Networks 3

In-Edges 4

Out-Edges 6

p(HGNC:PTPA) increases p(HGNC:PPP2CA, pmod(Me, Leu, 309)) View Subject | View Object

Deletion of PTPA homologs in yeast, rrd1/rrd2, resulted in elevated levels of stable PP2A-PME-1 complexes, accompanied by decreased methylation PubMed:19277525

p(HGNC:PTPA) increases act(complex(GO:"protein phosphatase type 2A complex")) View Subject | View Object

A portion of cellular PP2A stably associated with PME-1 and was catalytically inactive [80]; intriguingly, this inactive portion of PP2A could be re-activated by PP2A phosphatase activator (PTPA), but not by LCMT1, ruling out the possibility that inactivation was solely caused by demethylation PubMed:19277525

p(HGNC:PTPA) decreases complex(a(GO:"protein phosphatase type 2A complex"), p(HGNC:PPME1)) View Subject | View Object

Deletion of PTPA homologs in yeast, rrd1/rrd2, resulted in elevated levels of stable PP2A-PME-1 complexes, accompanied by decreased methylation PubMed:19277525

p(HGNC:PTPA) negativeCorrelation path(MESH:"Alzheimer Disease") View Subject | View Object

Decreased expression levels of PTPA in AD brain tissue may also lead to inactivation of PP2A by indirectly increasing levels of PP2A phosphorylated at the Tyr-307 site (Luo et al.,2013). PubMed:24653673

p(HGNC:PTPA) increases act(complex(GO:"protein phosphatase type 2A complex")) View Subject | View Object

Decreased expression levels of PTPA in AD brain tissue may also lead to inactivation of PP2A by indirectly increasing levels of PP2A phosphorylated at the Tyr-307 site (Luo et al.,2013). PubMed:24653673

p(HGNC:PTPA) decreases p(FPLX:PPP2, pmod(Ph, Tyr, 307)) View Subject | View Object

Decreased expression levels of PTPA in AD brain tissue may also lead to inactivation of PP2A by indirectly increasing levels of PP2A phosphorylated at the Tyr-307 site (Luo et al.,2013). PubMed:24653673

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BEL Commons is developed and maintained in an academic capacity by Charles Tapley Hoyt and Daniel Domingo-Fernández at the Fraunhofer SCAI Department of Bioinformatics with support from the IMI project, AETIONOMY. It is built on top of PyBEL, an open source project. Please feel free to contact us here to give us feedback or report any issues. Also, see our Publishing Notes and Data Protection information.

If you find BEL Commons useful in your work, please consider citing: Hoyt, C. T., Domingo-Fernández, D., & Hofmann-Apitius, M. (2018). BEL Commons: an environment for exploration and analysis of networks encoded in Biological Expression Language. Database, 2018(3), 1–11.